M. Borghesi
Papers
1
Total Citations
1
H-Index
1
About
M. Borghesi is a researcher whose work centers on surgical outcomes and the application of advanced analytics in urological oncology. His key research areas include robotic-assisted surgery, post-operative prognosis, and the use of video-recorded procedures to improve patient care. Borghesi’s major contribution lies in pioneering the analysis of intraoperative video data to predict post-operative outcomes, a novel approach that bridges surgical technique with data-driven medicine. His most-cited paper, "Prediction of post-operative outcomes by analyses of video-recorded surgery in patients submitted to robotic-assisted radical prostatectomy" (2021), has garnered 1 citation and represents a foundational step toward integrating machine learning and video analytics into surgical practice. This work highlights the potential for real-time feedback and personalized risk assessment in robotic prostatectomy, offering a pathway to reduce complications and enhance recovery. Borghesi’s research is notable for its interdisciplinary nature, combining urology, computer vision, and predictive modeling, and it positions him as an emerging voice in the evolving field of surgical data science. His efforts underscore a commitment to translating technological innovation into tangible clinical benefits.
Research Focus
Key Achievements
Top Papers
- 1